Tim Scarfe: prediction

Transcript context

…I think, the 1 of the high level things we should be doing is not putting all our eggs in 1 basket. Right? That's like the main point of the open ended of this lesson is obviously there should be people scaling up these LLMs to see how far the current paradigm can get us. More people should look into, you know, artificial life, pig breeder, and the ideas from our paper and, see because I think it's a very promising direction. We need to build an AI which doesn't regurgitate patterns from its training data, but it actually understands the deep structure of the world. An AI that can look at new scientific challenges, that can discover entirely new principles. The path to artificial intelligence is not a straight line towards a known destination. It's a divergent, unpredictable, open ended search into the unknown. It's possible that the most important discoveries that we will eventually make will be the ones we aren't even looking for now. And by the way folks, if you want to watch the entire roughly 2 and a half hours worth of goodness with Kenneth and Arkash, his co author at MIT. Yeah. We will be releasing that pretty much on our next episode. So hopefully, this has whetted your appetite for that. Cheers.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.